The main purpose of this study is to analyze the efficiency of sunflower production in the West Azerbaijan province of Iran. In many previous studies conducted in Iran, efficiency analyzes of agricultural producers were examined with parametric methods in general. However, in this study, performance analysis of sunflower production by using Tobit model with Data Envelopment Analysis (DEA), which is known as nonparametric method, is discussed. The technical inefficiency and scale inefficiencies of sunflower producers in the West Azerbaijan province of Iran were 26.2% and 7.5%, respectively and the ineffective production results revealed. The performance of the producers varied between 12.1% and 100%, indicating a large difference in performance. In addition, some social and economic factors have significant effects on technical inefficiency of sunflower production in West Azerbaijan province of Iran.
Economic growth is one of the major keys in the development of a country. This research aims to analyze the effect of capital accumulation growth, the regional minimum wages, and total factor productivity growth against Indonesia's economic growth. The analysis in this study uses the equation by the method of Error Correction Model (ECM). This study analyzed the relationship between the independent variable and the dependent variable, both in the short-term and long-term. Estimation results show that in the short-term both the variable capital accumulation, the regional minimum wage and total factor productivity growth affect Indonesia's economic growth but in the long-term, there are two variables that influence positive and insignificant i.e. investment, the Regional Minimum wage affects economic growth in Indonesia. And Total Factor Productivity growth in the long-term have a positive and significant influence on economic growth in Indonesia. Thus, it can be concluded that Total Factor Productivity is the main determining factor affecting economic growth in Indonesia.
The purpose of this study is to develop a checklist (yardstick) which can be used widely across various industries employing mystery shoppers. This research paper focuses on the development of a checklist instrument after a detailed critical review of various theories, concepts and themes associated with mystery shopping. Mystery shopping is being used in many industries such as banking and insurance, Retail and marketing, Government department, entertainment etc., and hence a common yardstick has to be framed which could be used to measure the outcome of mystery shopping assignments. Thus, the research motivation is to construct a checklist for mystery shoppers to evaluate the mystery shopping field work. Selected research articles were taken to critically analyze the theme of mystery shopping. Rigorous efforts had been taken to understand the usage of mystery shopping in various industries to form a common pool of statements which forms the “The Dimensions of Mystery Shopping Program” (DMSP-checklist construction). To ensure the relevance of a common checklist which can be used across various industries, detailed explanation on how the variables had been selected has been explained. Qualitative software named Dedoose, which is now very popular in Social Science, has been used to find the most promising variables. The study concludes that measuring the customers shopping experience is more important for a mystery shopping filed work considering three important variables to be seen in checklist such as: product knowledge, service & customer experience.
International Journal of Management, Accounting and Economics (IJMAE) is an electronic independent international scientific and academic journal aims to publish scholars’ original and high quality manuscripts and reports in all fields of business.